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Bock's Algorithm Reformulated for Exact Dependency Parsing

By PulseAugur Editorial · [1 sources] ·

A new paper reformulates Bock's algorithm, an alternative to the Chu-Liu/Edmonds algorithm for exact dependency parsing. The reformulation maintains original node and arc identities and is proven to be operationally equivalent to the original Bock algorithm and the Tarjan algorithm under specific conditions. This work integrates the reformulated Bock algorithm into a biaffine dependency parser, demonstrating its utility for decoding and structured training on standard datasets like the Penn Treebank and Chinese Treebank. AI

IMPACT This research offers a new exact oracle for dependency parsing and structured training, potentially improving NLP model development.

RANK_REASON The cluster contains a research paper detailing a new algorithm formulation for dependency parsing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Bock's Algorithm Reformulated for Exact Dependency Parsing

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The cluster contains a research paper detailing a new algorithm formulation for dependency parsing. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yuxi Wang, Jungyeul Park ·

    Reformulation and Equivalence of Bock's Algorithm for Exact Dependency Parsing

    arXiv:2611.00939v1 Announce Type: new Abstract: Bock's algorithm provides a matrix-based alternative to Chu--Liu/Edmonds (CL/E) for exact dependency parsing. We present a reformulation that retains original node and arc identities through component labels, column adjustments, and…

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